The Anatomy and Evolution of Industries

By Orietta Marsili. 2001

139 citations recorded by the source corpus.

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Citations in the corpus

The economic benefits of publicly funded basic research: a critical review (2001, methodology): “Marsili (1999) also analysed the degree of codification in the knowledge base of each industry, using the number of academic papers cited in patents as a measure of that codification (cf. Narin et al., 1997).”
Testing the Principle of "Growth of the Fitter": The Relationship between Profits and Firm Growth (2005, methodology): “Agent-based simulation modeling has since remained a dominant tool in the evolutionary literature (see, among others, Chiaromonte and Dosi (1993), Dosi et al. (1995), and Marsili (2001); see also Kwasnicki (2003) for a survey).”
Technological regimes and the variety of innovation behaviour: Creating integrated taxonomies of firms and sectors (2010, background): “Among them, the most important taxonomies are provided by Marsili (2001) and Castellacci (2008).”
Market Structure: Theory and Evidence (2007, background): “On the (close) relations between the bounds approach and the Schumpeterian literature, see Sutton (1998), pp. 29-31 and Marsili (2001).”
Firm Growth : a Survey (2007, unknown): “In short, the “problem of sample selection does not seem to significantly affect the relationship between growth rate and size of firm” (Marsili, 2001: 15).”
Corporate Growth and Industrial Structure. Some Evidence from the Italian Manufacturing Industry (2001, background): “... which can be reasonably taken as representative of Pavitt’s taxonomic classes identified as ‘science-based’, ‘scale-intensive’, ‘specialized supply’ and ‘supplier dominated’, respectively (Pavitt, 1984).Here we consider Pavitt’s categories as an attempt to classify different industrial sectors a”
R&D and Non-linear Productivity Growth (2016, background): “On the other hand, firms in low-tech sectors may benefit from a “late-comer advantage”, while firms in high-tech sectors may be more affected by diminishing returns to R&D due to the so-called “fishing out” effect, suggesting that the relationship between R&D and productivity growth might be stronge”
Differences in technology transfer between science-based and development based industries: transfer mechanisms and barriers (2011, methodology): “Obviously, in a science-based regime, scientific knowledge is relatively more important and its impact is relatively larger and more direct (Marsili, 2001).”
On the contribution of innovation to multi-factor productivity growth (2006, background): “The interaction between internal and external knowledge bases has been the subject of many studies (see, e.g. Cohen and Levinthal, 1989; Lhuillery, 2006; Marsili, 2001; the last study gives an overview of the micro-foundations of knowledge bases).”
High-growth firms: Introduction to the special section (2014, background): “This has led researchers to conclude that “growth is mainly affected by purely stochastic shocks” (Marsili, 2001: 18).”
R&D and productivity: testing sectoral peculiarities using micro data (2009, background): “The argument here is that catching-up low-tech sectors are investing less in RD Von Tunzelmann and Acha 2005; Mairesse and Mohnen 2005).”
Organizational Capabilities, Patterns of Knowledge Accumulation and Governance Structures in Business Firms: An Introduction (2008, methodology): “A similar pattern is described by Montgomery (1994) for the period 1985-1992.”
Does Biotech Reflect a New Science-based Innovation Regime? (2003, background): “From this point of view, the main differences can be presented as follows (see Coriat and Weinstein 2001; Marsili 2001).”
Technological Regimes and Sources of Entrepreneurship (2000, background): “A detailed account of the construction of the taxonomy is in Marsili (2001) .”
Invariances and Diversities in the Patterns of Industrial Evolution: Some Evidence from Italian Manufacturing Industries (2007, methodology): “way resembling the taxonomy of industrial sectors – based on distinct patterns of innovation – developed by Pavitt (1984) and refined in Marsili (2001) .”
Innovation and firm growth in high-tech sectors: A quantile regression approach (2008, background): ““In short, the empirical evidence suggests that although there are systematic factors at the firm and industry levels that affect the process of firm growth, growth is mainly affected by purely stochastic shocks. . . ” (Marsili, 2001:18).”